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Fig. 12 in Revision of the nitidus species group of the bee genus Scrapter Lepeletier & Serville, 1828 (Hymenoptera: Apoidea)
Fig. 12. Scrapter caeruleus sp. nov., holotype, ♀. A. Scutum and scutellum (dorsal view). B. Metanotum and propodeum (dorsal view). C. Metasoma (dorsal view). D. Terga 1–2 (dorsal view).
Fig. 3 in Revision of the nitidus species group of the bee genus Scrapter Lepeletier & Serville, 1828 (Hymenoptera: Apoidea)
Fig. 3. Scrapter basutorum (Cockerell, 1915), ♂. A. Lateral view. B. Scutum and scutellum (dorsal view). C. Metanotum and propodeum (dorsal view). D. Metasoma (dorsal view).
Fig. 10. Scrapter flavostictus Cockerell, 1934 in Revision of the nitidus species group of the bee genus Scrapter Lepeletier & Serville, 1828 (Hymenoptera: Apoidea)
Fig. 10. Scrapter flavostictus Cockerell, 1934, ♂. A. Terga 1–2 (dorsal view). B. Genitalia (dorsal view). C. Sternum 7. D. Sternum 8.
Fig. 14 in Revision of the nitidus species group of the bee genus Scrapter Lepeletier & Serville, 1828 (Hymenoptera: Apoidea)
Fig. 14. Scrapter convexoides sp. nov., paratype, ♂ (RCMK). A. Terga 1–2 (dorsal view). B. Genitalia (dorsal view). C. Sternum 7. D. Sternum 8.
Fig. 4 in Revision of the nitidus species group of the bee genus Scrapter Lepeletier & Serville, 1828 (Hymenoptera: Apoidea)
Fig. 4. Scrapter basutorum (Cockerell, 1915), ♂. A. Terga 1–2 (dorsal view). B. Genitalia (dorsal view). C. Sternum 7. D. Sternum 8.
Figure 1 in Taxonomic review of the "posteli-species group" of goatfishes (genus Parupeneus, Mullidae), with description of a new species from the northern Red Sea
Figure 1. – Relationships among eight morphometric characters including SL and total number of gill rakers in the five posteli-group species and three populations of Parupeneus posteli.
Figure 3. – A-E in Taxonomic review of the "posteli-species group" of goatfishes (genus Parupeneus, Mullidae), with description of a new species from the northern Red Sea
Figure 3. – A-E: Parupeneus posteli; A: SAIAB 83959, 88 mm SL, Baissac Bank, southern Mascarene Plateau (O. Alvheim and D. Tweddle); B: SAIAB 83959, 90 mm SL, same locality details (O. Alvheim and D. Tweddle); C: SAIAB 83898, 105 mm SL, Soudan Bank, southern Mascarene Plateau (O. Alvheim and D. Tweddle); D: large-sized fish (SL unknown), Réunion, Mascarene Islands (P. Guézé); E: MNHN 1965-0056, HT, 150 mm SL, same locality details (MNHN); F: Parupeneus sinai n. sp., MNHN 1967-0557, HT, 83 mm SL, northern Red Sea, right side shown, image reversed (F. Uiblein). Scale bars = 20 mm.
Figure 2. – A in Taxonomic review of the "posteli-species group" of goatfishes (genus Parupeneus, Mullidae), with description of a new species from the northern Red Sea
Figure 2. – A: Parupeneus chrysonemus BPBM 34775, 129 mm SL, Midway Atoll, Hawaiian Islands (J.E. Randall); B: P. chrysonemus BPBM 39141, 140 mm SL, Oahu, Hawaiian Islands (J.E. Randall); C: P. louise, large-sized fish (SL unknown), Rurutu, Austral Islands, French Polynesia (A. Stein); D: P. moffiti, HT, 230 mm SL, Guam, Mariana Islands (R.F. Myers). Scale bars = 20 mm.
Data for sensitivity analysis of Hübler, M., M. Wiese, M. Braun and J. Damster (2023): The distributional effects of CO2 pricing at home and at the border on German income groups
<p>This dataset contains the output files used in the sensitivity analysis of the computable general equilibrium (CGE) model developed in Hübler et al. (2023). Each folder is labeled with the respective set of sector-level elasticity of substitution parameters considered in the analysis: elasticities between domestically produced versus imported goods (esubd), Armington elasticities (esubm) and elasticities between production factors (esubva).</p> <p>For each set of parameters, we generate 1000 random draws from a +-10 % interval around each of the sector-specific elasticities, resulting in 1000 sets of sectoral parameter values. Each .xlsx output file located in a dedicated subfolder corresponds to a model run with a specific set of parameter values. In addition, we conduct sensitivity analyses of two individual parameters, namely the CO2 target (CO2factor) considered in our policy scenarios and the elasticity of substitution in consumption (esub_cons).</p> <p>The sensitivity analysis is carried out using the <a href="https://snakemake.readthedocs.io/en/stable/">Snakeflow</a> workflow management system, and R code for generating parameter spaces and processing the output files is available on <a href="https://github.com/mariuslbraun/climate-trade-distribution-sensitivity">GitHub</a>.</p>
Tracing evolutionary trajectories in the presence of gene flow in South American temperate lizards (Squamata: Liolaemus kingii group)
<p>Evolutionary processes behind lineage divergence often involve multidimensional differentiation. However, in the context of recent divergences, the signals exhibited by each dimension may not converge. In such scenarios, incomplete lineage sorting, gene flow, and scarce phenotypic differentiation are pervasive. Here, we integrated genomic (RAD loci of 90 individuals), phenotypic (linear and geometric traits of 823 and 411 individuals, respectively), spatial, and climatic data to reconstruct the evolutionary history of a speciation continuum of liolaemid lizards (<em>Liolaemus kingii</em> group). Specifically, we (i) inferred the population structure of the group and contrasted it with the phenotypic variability; (ii) assessed the role of post-divergence gene flow in shaping phylogeographic and phenotypic patterns; and (iii) explored eco-geographic drivers of diversification across time and space. We inferred eight genomic clusters exhibiting leaky genetic borders coincident with geographic transitions. We also found evidence of post-divergence gene flow resulting in transgressive phenotypic evolution in one species. Predicted ancestral niches unveiled suitable areas in southern and eastern Patagonia during glacial and interglacial periods. Our study underscores integrating different data and model-based approaches to determine the underlying causes of diversification, a challenge faced in the study of recently diverged groups. We also highlight <em>Liolaemus</em> as a model system for phylogeographic and broader evolutionary studies.</p>
Figures 38–43 in Two further species groups and new species among Australian Hydrobiosella Tillyard: new species from south-eastern Australia (Trichoptera: Philopotamidae)
Figures 38–43. Hydrobiosella spp. Female genitalia (part segment VIII) in lateral view; 38, Hydrobiosella bandabanda sp. nov.; lateral; 38a, Hydrobiosella bandabanda sp. nov. (variant) lateral; 39, Hydrobiosella tiarka sp. nov.; lateral; 40, Hydrobiosella tarrong sp. nov.; lateral; 41 Hydrobiosella jirrima sp. nov.; lateral; 42, Hydrobiosella bifurca sp. nov.; lateral; 43, Hydrobiosella bos sp. nov
Figures 8–16 in Two further species groups and new species among Australian Hydrobiosella Tillyard: new species from south-eastern Australia (Trichoptera: Philopotamidae)
Figures 8–16. Hydrobiosella spp.; male genitalia in dorsal, lateral and part ventral views; 8–10, Hydrobiosella tarrong sp. nov.; 8, dorsal, 9, lateral, 10, ventral, mesodistal margin of segment IX; 11–13, Hydrobiosella jibbor sp. nov.; 11, dorsal; 12, lateral; 13, ventral, mesodistal margin of segment IX; 14–16, Hydrobiosella jirrima sp. nov.; 14, dorsal; 15, lateral; 16, ventral, mesodistal margin of segment IX.
Figures 24–32 in Two further species groups and new species among Australian Hydrobiosella Tillyard: new species from south-eastern Australia (Trichoptera: Philopotamidae)
Figures 24–32. Hydrobiosella spp.; male genitalia in dorsal, lateral and part ventral views; 24–26, Hydrobiosella incisura sp. nov.; 24, dorsal; 25, lateral; 26, ventral, mesodistal margin of segment IX; 27–29, Hydrobiosella tenuitas sp. nov.; 27, dorsal; 28, lateral; 29, ventral, mesodistal margin of segment IX; 30–32, Hydrobiosella exilatis sp. nov.; 30, dorsal; 31, lateral; 32, ventral, mesodistal margin of segment IX.
Figures 1–7 in Two further species groups and new species among Australian Hydrobiosella Tillyard: new species from south-eastern Australia (Trichoptera: Philopotamidae)
Figures 1–7. Hydrobiosella spp.; 1, Hydrobiosella bandabanda sp. nov., distal part of wings; 2–7, Hydrobiosella spp., male genitalia in dorsal, lateral and part ventral views; 2–4, Hydrobiosella bandabanda sp. nov.; 2, dorsal; 3, lateral; 4, ventral, mesodistal margin of segment IX; 2a–4a, Hydrobiosella bandabanda sp. nov. (variant); 2a, dorsal; 3a, lateral; 4a, ventral, mesodistal margin of segment IX; 5–7, Hydrobiosella tiarka sp. nov.; 5, dorsal. 6, lateral; 7, ventral, mesodistal margin of segment IX.
Figure 2 Sphecodini male genital capsule. A in A revised genus-level classification for the Neotropical groups of the cleptoparasitic bee tribe Sphecodini Schenck (Hymenoptera, Apidae, Halictinae)
Figure 2 Sphecodini male genital capsule. A) Austrosphecodes sp., B) Microsphecodes sp., C) Melissocleptis capriciosa, D) Ptilocleptis tomentosa. Abbreviations: gs = gonocoxite striations, isp = gonostylus internal setose patch, vp = ventral prong. All images under the same scale.
Figure 3 in A revised genus-level classification for the Neotropical groups of the cleptoparasitic bee tribe Sphecodini Schenck (Hymenoptera, Apidae, Halictinae)
Figure 3 Nesosphecodes depressus sp. nov. Female Holotype. A) habitus, B) head in frontal view, C) mesosoma in dorsal view, D) metasoma in dorsal view. B and C under the same scale.
Figure 5 in A revised genus-level classification for the Neotropical groups of the cleptoparasitic bee tribe Sphecodini Schenck (Hymenoptera, Apidae, Halictinae)
Figure 5 Nesosphecodes depressus sp. nov. Male Paratype. A) T6, B) S7 and S8, C) genital capsule, ventral view, D) genital capsule, dorsal view. All images under the same scale.
Figure 4 in A revised genus-level classification for the Neotropical groups of the cleptoparasitic bee tribe Sphecodini Schenck (Hymenoptera, Apidae, Halictinae)
Figure 4 Nesosphecodes depressus sp. nov.Male Paratype. A) habitus, B) head in frontal view, C) mesosoma in dorsal view, D) metasoma in dorsal view.B and C under the same scale.
Figure 1 Melissocleptis gen. nov. and Austrosphecodes. A in A revised genus-level classification for the Neotropical groups of the cleptoparasitic bee tribe Sphecodini Schenck (Hymenoptera, Apidae, Halictinae)
Figure 1 Melissocleptis gen. nov. and Austrosphecodes. A) Melissocleptis capriciosus, female head, colored bars indicating the scape and frons length, B) M. capriciosus male head, F1–3 colored; C) M. capriciosa male metasoma, pygidial plate indicated in blue; D) Austrosphecodes brasiliensis, female head, colored bars indicating the scape and frons length, E) A. brasiliensis male head, F1–3 colored; F) A. brasiliensis male metasoma, pygidial plate indicated in blue. All images under the same scale.
Data from: The magnitude of Allee effects varies across Allee mechanisms, but not taxonomic groups
<p>The Allee effect is a density-dependent phenomenon in which individual fitness increases as population density increases at low population densities. Over the past few decades, a growing number of studies have identified Allee effects in populations using experimental approaches and statistical modelling techniques. These studies have investigated multiple Allee mechanisms (e.g., mate-finding, predation, resource limitation), across a range of systems and taxa (e.g., plants, vertebrates, invertebrates). This meta-analysis aims to synthesize studies that experimentally manipulated population density and measured either per capita population growth or fitness components, with the goal of determining whether the "magnitude" of the Allee effect (defined here as the correlation between population density and population growth or fitness) varies with Allee mechanism across taxonomic groups. A total of 2305 studies were screened, and 62 of these studies met our meta-analysis inclusion criteria. Within these 62 studies, 155 effect sizes encompassing 9 different Allee mechanisms were identified across 5 broad taxa. When grouped by Allee mechanism and taxa, the magnitude of the Allee effect differed across mechanisms, whereas taxonomic group was less useful at explaining variation in the magnitude of Allee effects. Of the nine Allee mechanisms identified, interspecific competition was associated with the strongest Allee effects, followed by fear, pollen limitation and mate limitation. These findings suggest that Allee effects may be more dependent on mechanism than taxa and may function similarly within different taxonomic groups. However, as the majority of experimental Allee effect studies included in this meta-analysis focused on plants and invertebrates, more research is needed on Allee effects in other taxonomic groups to confirm this conclusion. This first quantitative synthesis of Allee effect research in ecology offers novel insight into how Allee mechanisms affect the manifestation of Allee effects in populations, providing important information for ecologists and conservation managers.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.